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   <div id="projectname">Data Driven Substructure
   
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   <div id="projectbrief">A library for carrying out Multivariate Kernel Smoothing--designed to be fast and flexible for large data processing.</div>
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<div class="title">Covariance Member List</div>  </div>
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This is the complete list of members for <a class="el" href="classCovariance.html">Covariance</a>, including all inherited members.<table>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#aa686e3c88a3824718dd0d017b73c8675">ary</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a87ead41fd154645222bf12d449067886">ary2</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a732bbc234570ac4aef769b114f833527">bandwidth</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#aae70b9ff34d641133e88d3d9300757c0">bandwidth_inverse</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a008c5f1f83738a72a82b2f52dce85321">BandwidthNorm</a>(const valarray&lt; double &gt; &amp;band, int power=-1)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#ab025c5f55a945fdf176414e3be8fa7cd">compute_bandwidth</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a6badcf066113d3bfcffaa348b71e97c2">ComputeBandwidth</a>(double min_size=-1.0, double extra_factor=1.0)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a8f50b252023ce32fc0f9f0fd0f44edc6">Correlation</a>(int row, int col) const </td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a1b0c75c17023f8e424b9f8424cbcd81e">Covariance</a>(int rank_=1)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr bgcolor="#f0f0f0"><td><b>DataSet</b> (defined in <a class="el" href="classCovariance.html">Covariance</a>)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [friend]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a4543221389332dc122506d62cd7c5aee">Fill</a>(const valarray&lt; double &gt; &amp;ntuple, double weight=1.0)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#aee768d0462b8896ba627bb4f65e30d4a">operator()</a>(int row, int col) const </td><td><a class="el" href="classCovariance.html">Covariance</a></td><td></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a2ce7749c8ffc0acbea76638d324460a6">operator&lt;&lt;</a>(ostream &amp;, const Covariance &amp;)</td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [friend]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a19e0d1afb0808d61305b60b4f418ee47">rank</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a8b84948da6b3975d2ff5b0b0407b5479">Rank</a>() const </td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [inline]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#a153d50863ab5337b6acb6354bd96a1cf">sum</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
  <tr class="memlist"><td><a class="el" href="classCovariance.html#aca14b94adb91498ed1e98280526091af">sum2</a></td><td><a class="el" href="classCovariance.html">Covariance</a></td><td><code> [private]</code></td></tr>
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